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Rich Caruana

Active 1987–2026

146
Papers
34,523
Citations
61
h-index
107
i10-index

Citations

Citations per year for Rich Caruana1920: 1 citations1982: 1 citations1983: 1 citations1989: 5 citations1990: 19 citations1991: 13 citations1992: 21 citations1993: 23 citations1994: 54 citations1995: 55 citations1996: 97 citations1997: 106 citations1998: 77 citations1999: 67 citations2000: 100 citations2001: 74 citations2002: 105 citations2003: 108 citations2004: 112 citations2005: 166 citations2006: 174 citations2007: 254 citations2008: 291 citations2009: 345 citations2010: 405 citations2011: 420 citations2012: 510 citations2013: 437 citations2014: 499 citations2015: 581 citations2016: 773 citations2017: 998 citations2018: 1,347 citations2019: 1,991 citations2020: 2,456 citations2021: 2,588 citations2022: 1,908 citations2023: 1,718 citations2024: 1,633 citations2025: 1,289 citations2026: 412 citations2027: 1 citations1921–1981: no citations, so these years are not shown1984–1988: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,920 citing papers, 24.3% of this breakdownChina: 3,916 citing papers, 16.1% of this breakdownUnited Kingdom: 1,657 citing papers, 6.8% of this breakdownGermany: 1,154 citing papers, 4.7% of this breakdownCanada: 854 citing papers, 3.5% of this breakdownAustralia: 746 citing papers, 3.1% of this breakdownFrance: 699 citing papers, 2.9% of this breakdownIndia: 649 citing papers, 2.7% of this breakdownItaly: 632 citing papers, 2.6% of this breakdownSpain: 569 citing papers, 2.3% of this breakdownJapan: 568 citing papers, 2.3% of this breakdownSouth Korea: 538 citing papers, 2.2% of this breakdown
0%24.3%Other 26.5%

Institutions

Fields

  • Computer Science70.9%
  • Engineering7.2%
  • Medicine5.1%
  • Biochemistry, Genetics and Molecular Biology2.7%
  • Social Sciences2.1%
  • Decision Sciences1.8%
  • Other10.2%

Topics

  • Topic Modeling3.8%
  • Domain Adaptation and Few-Shot Learning3.7%
  • Machine Learning and Data Classification3.3%
  • Explainable Artificial Intelligence (XAI)3.2%
  • Advanced Neural Network Applications2.6%
  • Natural Language Processing Techniques2.1%
  • Other81.3%

Coauthors

All papers

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  1. Multitask Learning

    Authors: Rich Caruana - Learning to Learn 1997 cited by 6,312

  2. Model compression

    Authors: Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil - SIGKDD international conference on Knowledge discovery and data mining 2006 cited by 2,087

  3. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

    Authors: Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad - SIGKDD International Conference on Knowledge Discovery and Data Mining 2015 cited by 1,638

  4. Predicting good probabilities with supervised learning

    Authors: Alexandru Niculescu-Mizil, Rich Caruana - conference on Machine learning - ICML '05 2005 cited by 1,617

  5. Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

    Authors: Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna M. Wallach, Jennifer Wortman Vaughan - CHI Conference on Human Factors in Computing Systems 2020 cited by 608

  6. InterpretML: A Unified Framework for Machine Learning Interpretability

    Authors: Harsha Nori, Samuel Jenkins, Paul Koch, Rich Caruana - arXiv (Cornell University), CoRR 2019 cited by 388

  7. Rethinking Interpretability in the Era of Large Language Models

    Authors: Chandan Singh, Jeevana Priya Inala, Michel Galley, Rich Caruana, Jianfeng Gao - arXiv (Cornell University), CoRR 2024 cited by 156

  8. An empirical comparison of supervised learning algorithms

    Authors: Rich Caruana, Alexandru Niculescu-Mizil - conference on Machine learning - ICML '06 2006 cited by 2,714

  9. Accurate intelligible models with pairwise interactions

    Authors: Yin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker - SIGKDD international conference on Knowledge discovery and data mining 2013 cited by 529

  10. Ensemble selection from libraries of models

    Authors: Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes - Twenty-first international conference on Machine learning - ICML '04 2004 cited by 844

  11. Multitask Learning: A Knowledge-Based Source of Inductive Bias

    Authors: Rich Caruana - Elsevier eBooks, ICML 1993 cited by 686

  12. Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models

    Authors: Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, Steven M. Drucker - CHI Conference on Human Factors in Computing Systems 2019 cited by 225

  13. Intelligible models for classification and regression

    Authors: Yin Lou, Rich Caruana, Johannes Gehrke - SIGKDD international conference on Knowledge discovery and data mining 2012 cited by 520

  14. Do Deep Nets Really Need to be Deep?

    Authors: Jimmy Ba, Rich Caruana - NIPS 2014 cited by 2,251

  15. Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere

    Authors: Jonathan A. Weyn, Dale R. Durran, Rich Caruana - Journal of Advances in Modeling Earth Systems 2020 cited by 288

  16. Neural Additive Models: Interpretable Machine Learning with Neural Nets

    Authors: Rishabh Agarwal, Levi Melnick, Nicholas Frosst, Xuezhou Zhang, Benjamin J. Lengerich, Rich Caruana, Geoffrey E. Hinton - NeurIPS 2021 cited by 612

  17. NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning

    Authors: Chun-Hao Chang, Rich Caruana, Anna Goldenberg - ICLR 2022 cited by 127

  18. Augmenting interpretable models with large language models during training

    Authors: Chandan Singh, Armin Askari, Rich Caruana, Jianfeng Gao - Nature Communications 2023 cited by 50

  19. Faithful and Customizable Explanations of Black Box Models

    Authors: Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec - AAAI/ACM Conference on AI, AIES 2019 cited by 262

  20. Classification with partial labels

    Authors: Nam Nguyen, Rich Caruana - SIGKDD international conference on Knowledge discovery and data mining 2008 cited by 187

  21. Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping

    Authors: Rich Caruana, Steve Lawrence, C. Lee Giles - http://www.cs.cmu.edu/Web/Groups/NIPS/00papers-pub-on-web/CaruanaLawrenceGiles.ps.gz 2000 cited by 1,197

  22. Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data

    Authors: Jonathan A. Weyn, Dale R. Durran, Rich Caruana - Journal of Advances in Modeling Earth Systems 2019 cited by 361

  23. Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models

    Authors: Jonathan A. Weyn, Dale R. Durran, Rich Caruana, Nathaniel Cresswell‐Clay - Journal of Advances in Modeling Earth Systems 2021 cited by 154

  24. Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models

    Authors: Sebastian Bordt, Harsha Nori, Vanessa Rodrigues, Besmira Nushi, Rich Caruana - arXiv (Cornell University), CoRR 2024 cited by 22